Data Allocation Mechanism for Internet-of-Things Systems With Blockchain

Yánez, Wendy; Mahmud, Redowan; Bahsoon, Rami; Zhang, Yuqun; Buyya, Rajkumar

doi:10.1109/jiot.2020.2972776

Cited by 60 publications

(28 citation statements)

References 52 publications

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“…The data-offloading-aware data allocation in the blockchain-enabled fog-cloud network system for healthcare sensors was proposed in [4,6,[20][21][22][23][24]. These studies suggested a method to protect sensor data and enhances the performance of big-data analysis in the system.…”

Section: Related Workmentioning

confidence: 99%

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Smart-Contract Aware Ethereum and Client-Fog-Cloud Healthcare System

Lakhan

Mohammed

Rashid

et al. 2021

Sensors

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The Internet of Medical Things (IoMT) is increasingly being used for healthcare purposes. IoMT enables many sensors to collect patient data from various locations and send it to a distributed hospital for further study. IoMT provides patients with a variety of paid programmes to help them keep track of their health problems. However, the current system services are expensive, and offloaded data in the healthcare network are insecure. The research develops a new, cost-effective and stable IoMT framework based on a blockchain-enabled fog cloud. The study aims to reduce the cost of healthcare application services as they are processing in the system. The study devises an IoMT system based on different algorithm techniques, such as Blockchain-Enable Smart-Contract Cost-Efficient Scheduling Algorithm Framework (BECSAF) schemes. Smart-Contract Blockchain schemes ensure data consistency and validation with symmetric cryptography. However, due to the different workflow tasks scheduled on other nodes, the heterogeneous, earliest finish, time-based scheduling deals with execution under their deadlines. Simulation results show that the proposed algorithm schemes outperform all existing baseline approaches in terms of the implementation of applications.

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Section: Related Workmentioning

confidence: 99%

“…• Baseline1: Baseline2: The existing studies [16][17][18][19][20][21][22][23][24] suggested a blockchain-enabled fog-cloud network for healthcare applications. These works considered the containers and virtual machines at any computing node as the resource.…”

Section: Baseline-approachesmentioning

confidence: 99%

Smart-Contract Aware Ethereum and Client-Fog-Cloud Healthcare System

Lakhan

Mohammed

Rashid

et al. 2021

Sensors

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“…Data operations are performed in the blockchain system through smart contract implementation, including data gathering, invoking, transfer, storage. A new context-aware mechanism is proposed in [ 34 ] for blockchain-enabled IoT systems to facilitate the on-chain data allocation. The authors define a fuzzy logic mechanism to control the data and calculate the Rating of Allocation (RoA) value that is associated with each data request.…”

Section: Related Workmentioning

confidence: 99%

Multi-Layer Blockchain-Based Security Architecture for Internet of Things

Pajooh

Rashid

Alam

et al. 2021

Sensors

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The proliferation of smart devices in the Internet of Things (IoT) networks creates significant security challenges for the communications between such devices. Blockchain is a decentralized and distributed technology that can potentially tackle the security problems within the 5G-enabled IoT networks. This paper proposes a Multi layer Blockchain Security model to protect IoT networks while simplifying the implementation. The concept of clustering is utilized in order to facilitate the multi-layer architecture. The K-unknown clusters are defined within the IoT network by applying techniques that utillize a hybrid Evolutionary Computation Algorithm while using Simulated Annealing and Genetic Algorithms. The chosen cluster heads are responsible for local authentication and authorization. Local private blockchain implementation facilitates communications between the cluster heads and relevant base stations. Such a blockchain enhances credibility assurance and security while also providing a network authentication mechanism. The open-source Hyperledger Fabric Blockchain platform is deployed for the proposed model development. Base stations adopt a global blockchain approach to communicate with each other securely. The simulation results demonstrate that the proposed clustering algorithm performs well when compared to the earlier reported approaches. The proposed lightweight blockchain model is also shown to be better suited to balance network latency and throughput as compared to a traditional global blockchain.

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“…Yá nez et al [55] Data Management • Calculated the rating of allotment (ROA) to decide on-chain data allotment for edge devices 1) Lei et al [41] expounded problems related to fog computing like centralized and trust management and presented a solution called the blockchain. When combined with fog computing, they have suggested for block parameters tuning to overcome scalability problems of blockchain in the combination of fog computing.…”

Section: Author Purpose Synopsismentioning

confidence: 99%

“…15) Yá nez et al [55] designed on-chain data allotment mechanism for edge devices using fuzzy logic. For every request, the method is to calculate the rating of allotment (ROA) based on different network-related parameters.…”

Section: Author Purpose Synopsismentioning

confidence: 99%

The Purview of Blockchain Appositeness in Computing Paradigms: A Survey

Babu¹,

Babu²

2021

ISI

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Blockchain technology is getting more and more pertinent to solve most of the digital problems that we face today. Blockchain is notable for its prominent features like immutability, decentralization, consensus, privacy, and security. However, blockchain is still suffering from different barriers like quantum attacks, scalability problems, integration problems, incompetence to face bigdata, storage problems, and so on. The main aim of this study was to find out the scope, various problems raised, and the applicability of blockchain technology when integrated with different computing paradigms like cloud computing, edge computing, fog computing, osmotic computing, big data computing, and quantum computing. To conduct this study, we have surveyed different research articles in the combination of blockchain technology and computing paradigms. Based on this survey, we have mentioned the contemporary research works, challenges, and a list of possible research opportunities and solutions.

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Data Allocation Mechanism for Internet-of-Things Systems With Blockchain

Cited by 60 publications

References 52 publications

Smart-Contract Aware Ethereum and Client-Fog-Cloud Healthcare System

Smart-Contract Aware Ethereum and Client-Fog-Cloud Healthcare System

Multi-Layer Blockchain-Based Security Architecture for Internet of Things

The Purview of Blockchain Appositeness in Computing Paradigms: A Survey

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